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  • × author_ss:"Micco, M."
  • × theme_ss:"Klassifikationssysteme im Online-Retrieval"
  1. Micco, M.: Suggestions for automating the Library of Congress Classification schedules (1992) 0.00 
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    Abstract
    It will not be an easy task to automate the Library of Congress Classification schedules because it is a very large system and also because it developed long before automation. The designers were creating a system for shelving books effiently and had not even imagined the constraints imposed by automation. A number of problems and possible solutions are discussed. The MARC format proposed for classification has some serious problems which are identified
    Type
    a
  2. Micco, M.; Popp, R.: Improving library subject access (ILSA) : a theory of clustering based in classification (1994) 0.00 
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    Abstract
    The ILSA prototype was developed using an object-oriented multimedia user interfcae on six NeXT workstations with two databases: the first with 100.000 MARC records and the second with 20.000 additional records enhanced with table of contents data. The items are grouped into subject clusters consisting of the classification number and the first subject heading assigned. Every other distinct keyword in the MARC record is linked to the subject cluster in an automated natural language mapping scheme, which leads the user from the term entered to the controlled vocabulary of the subject clusters in which the term appeared. The use of a hierarchical classification number (Dewey) makes it possible to broaden or narrow a search at will
    Type
    a